Practical Course: Cloud Databases (IN0012, IN2106, IN4163)
Course 0000000034 in SS 2023
General Data
Course Type | practical training |
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Semester Weekly Hours | 6 SWS |
Organisational Unit | Informatics 13 - Chair of Application and Middleware Systems (Prof. Mayer komm.) |
Lecturers |
Jawad Tahir |
Dates |
7 singular or moved dates |
Assignment to Modules
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IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:- Further Modules from Other Disciplines
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
additional remarks | Cloud-based storage systems (e.g., Apache HBase, Google Big Table, Amazon Dynamo) are vital prerequisites for data-intense applications like social networks and receive growing interest from industry and academia. Starting with an overview of existing solutions and fundamental concepts, this course is about the design, implementation, and evaluation of such systems. This course consists of 4 milestones. Each milestone will be built on the previous milestone. The learning outcome of each milestone is given below: MS1: Introduction to containerization MS2: Design and development of a persistent Key-Value (KV) Store MS3: Design and development of a distributed and persistent KV Store MS4: Design and development of a replicated, distributed, and persistent KV Store In addition to these four milestones, students are expected to build a final project on top of replicated, distributed, and persistent KV Store developed in MS4. The preliminary session of the course will be held on Friday, January 27, 2023, from 17:30 to 18:00 over Zoom. It is highly recommended to attend the session as it will cover the course content and the registration process. The zoom link for the session is given below. https://tum-conf.zoom.us/j/67669183736?pwd=UUZqeDZ1RlA2REs3SCsrUVovdkNDUT09 |
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Links |
E-Learning course (e. g. Moodle) TUMonline entry |